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eRAPID: Online Symptom Reporting in Lung Cancer

University of Leeds · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
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nanon-small-cell-lung-cancersmall-cell-lung-cancer
Lung cancer is a leading cause of cancer-related ill-health and death in the United Kingdom (UK), but with advances in systemic anti-cancer therapies the prognosis for people in later stages is improving. There is growing evidence that electronic systems which enable patients to monitor and report symptoms can help improve symptom control and patient care. This study aims to investigate optimal ways of introducing an electronic symptom reporting system (eRAPID) in lung cancer care at Leeds Cancer Centre. eRAPID was developed by the University of Leeds and its integration with the electronic health records at Leeds Cancer Centre enables staff to view patient symptom reports directly. eRAPID provides advice to patients about self-management of milder symptoms, for serious symptoms patients are encouraged to contact the hospital and an alert is sent to the nurse or doctor by email. The aim of the study is to assess the feasibility and usefulness of an electronic symptom reporting system (eRAPID) for lung cancer patients and healthcare professionals during the treatment of lung cancer and during one year follow up. Two groups of patients will be recruited on the basis of their access to the internet at home (rather than randomisation). It is anticipated that approximately 100 patients will enrol into one of two groups: * Group 1: Patients with online access at home will be asked to report weekly using their own devices. * Group 2: Patients without online access will be asked to report on a tablet computer before their planned clinic appointments. The eRAPID questionnaire is based on existing eRAPID items with the addition of new items specific to lung cancer. These have been developed by the clinical team and patient groups have been consulted over the suitability of the wording used. Analysis of patient reported symptoms, quality of life and clinical information will be descriptive. Disease-related symptoms and health-related quality of life will be compared acros
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